The last each image Mosaic area in the 3-dimension model is fused by using of wavelet multiresolution to promote the scene image Mosaic precision.
在此基础上，利用多分辨分析对三维模型中的各图像拼接区域进行了多尺度融合，提高场景图像拼接的精度。
An adaptive threshold which is a low frequency passed image based on wavelet multiresolution filters is proposed for binarization, and the result is satisfactory.
提出通过小波多分辨力滤波将滤波以后的低通图像作为图像的自适应阈值进行二值化，获得了比较理想的效果。
The main idea of the new method is to combine PSO algorithm with wavelet multiresolution strategy and parameters of PSO are adapted along with the resolution of the images.
本文基于多分辨分析策略，提出了以图像最大互信息为匹配测度的粒子群优化算法。
The fast HRP algorithm is advanced at wavelet domain by taking advantage of wavelet multiresolution decomposition, and a parallel algorithm framework is used to further reduce operation time.
本文结合小波多分辨快速分解算法提出了在小波域实现HRP的快速算法，并进一步给出了减少运算时间的HRP的并行算法结构。
Suppressing noise is the difficult problem in image segmentation, so we have study suppressing noise in multiresolution segmentation based on Wavelet transform.
噪声的存在是图像分割的困难所在，本文着重研究了基于小波变换的多分辨率分割中噪声抑制的问题。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩，得到了小波域中地震波场正演模拟算法。
Next, by the orthogonal multiresolution analysis, the necessary conditions of a kind of M-band band-limited orthogonal wavelet function constructed by the scaling function are proposed.
然后利用正交多分辨率分析，给出由该尺度函数构造的一类频带有限的M进制正交小波函数的必要条件。
The wavelet package signal component energy eigenvector was used as the damage index property of structural damage recognition according to the multiresolution trait of wavelet package.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
In this paper, we particularly explain the basic principle of orthonormal wavelet Transform by multiresolution and wavelet decompose and give a realization algorithm.
本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理，并给出了实现算法。
Multiresolution support for lowpass filtering is introduced according to different property of wavelet transform for signal and noisy at different scale.
依据信号与噪声的小波变换在不同分辨率下呈现不同特性的特点，提出了多分辨率支集图像低通滤波方法。
In this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.
提出一种基于二进小波变换与多层分组神经网络的自由手写体数字的多分辨率识别算法。
A designing method of wavelet neural network structure based on multiresolution learning is put forward, and the studies of network weights adopt damped least squares.
文章提出一种基于多分辨率学习的正交基小波神经网络结构的设计方法，网络权值的学习采用阻尼递推最小二乘算法。
The multiresolution structure of wavelet is used to construct the image frequency components., which has better image fidelity preservation and robustness than spatial domain based techniques.
本算法利用小波变换的多分辨率特性来进行图象的小波域分解，这样可以获得更好的图象保真度并且比在空域中的水印嵌入算法更稳健。
In this paper, we use multiresolution wavelet decomposition to track the latency of the visual evoked potentials.
本文提出利用多分辨率子波分析技术来实时监测视觉诱发电位的潜伏期。
The data compression effect of multiresolution wavelet analysis can improve the efficiency of energy method, and energy method can deal with boundary constraints.
利用多分辨分析的数据压缩作用来提高能量法的效率，利用约束能量法来处理边界约束。
Experiments show that the multiresolution analysis of wavelet transform is an effective new method for processing unstable signals having time variant spectra.
实验结果表明，小波变换的多分辨率分析对于分析处理具有时变谱特性的非平稳信号是一种新的有效方法。
Advanced signal processing techniques such as discrete wavelet transform (DWT) and a corrected multiresolution Fourier transform (MFT) are applied to investigate the vibration and current transients.
信号处理的先进技术，如离散小波变换(DWT)和纠正多分辨傅立叶变换(MFT中)是适用于调查的振动和电流瞬变。
The multiresolution image representation based on the wavelet analysis is introduced. By this way, the image resolution can be decreased in keeping with the human visual system characteristic.
本文基于小波分析提出由高分辨率图像可得到各种较低分辨率图像的多分辨方法符合人的视觉系统特性。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
The wavelet transform theory is one of the effective tools mat widely apply to image processing recently, which have charicrictics of multiresolution analysis, fast working time, etc.
小波分析理论是近年来广泛使用于图像处理领域的有效工具之一，具有时域和频域的双重局部性、多尺度分析、计算的快速性等特点。
The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
在图像的多分辨率小波分析的基础上 ，采用高斯 -马尔可夫随机场模型来描述图像的局部特征 。
The multiresolution image fusion algorithm is commonly used in image fusion process and can be divided into multiresolution pyramid fusion algorithm and wavelet transformation (WT) fusion algorithm.
针对弹载视频图像在战场中的应用背景，分析了在进行弹载图像信源压缩编码时对图像分辨率及帧频的特殊处理要求。
In the scheme, 2-d motion vectors are obtained by a variable block-size multiresolution motion estimation algorithm and motion estimation is realized in the wavelet domain.
在该编码方案中，运动矢量的获取采用了可变块大小的多分辨运动估计算法，运动估算在小波域中进行。
In the scheme, 2-d motion vectors are obtained by a variable block-size multiresolution motion estimation algorithm and motion estimation is realized in the wavelet domain.
在该编码方案中，运动矢量的获取采用了可变块大小的多分辨运动估计算法，运动估算在小波域中进行。
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